I feel that a symbolic approach would be easier to start with and it
could be feasible with better insight and some stronger methods.  I
do, however, also feel that (what I think is) a gated recurrent
artificial neural network with n-space mapping (or bus-state mapping)
could be made to work, but this would in essence be very similar to a
hybrid approach.

Jim Bromer

On Sat, Nov 14, 2015 at 9:57 PM, Ben Goertzel <[email protected]> wrote:

> The paper is here... http://arxiv.org/abs/1506.03229
>
> Sensationalist media article here:
>
> http://www.iflscience.com/technology/scientists-create-artificial-system-capable-learning-human-language
>
> This is from Angelo Cangelosi (among others), who works with the iCub
> robot and gave a keynote at AGI-12 at Oxford...
>
> It's very good stuff, but unlike what that news article says, this is not
> the first time automated response-generation has been done w/ neural
> nets....  I recall a paper by some Russian dude giving similar results in
> the "Artificial Brains" special issue of Neurocomputing that Hugo DeGaris
> and I co-edited some years ago...
>
> What distinguishes this work is more the sophistication of the underlying
> cognitive architecture ... maybe it works better than prior NNs trained for
> dialogue-response or maybe it doesn't; careful comparison isn't given
> (understandably -- there is no standard test corpus for this stuff, and
> prior researchers mostly didn't open their code)....   But the cognitive
> architecture is very carefully constructed in a psychologically realistic
> way; combined with the interesting practical results, this is pretty
> nifty...
>
> The training method is interesting, incrementally feeding the system facts
> with increasing complexity, while interacting with it along the way, and
> letting it build up its knowledge bit by bit.   A couple weeks ago I talked
> to a Russian company at RobotWorld in Korea who was training a Russian NLP
> dialogue system in a similar way....  (again with those Russians!!)
>
> Note that with this method, the system can respond to questions involving
> the word "dad" without really knowing what a "dad" is (e.g. without knowing
> that a dad is a human or is older than a child, etc.).   This is just fine,
> and people can do this too.   But we should avoid assuming that just
> because it gives responses that, if heard from a human, would result from a
> certain sort of understanding, the system is demonstrating that same sort
> of understanding.    This system is building up question-response patterns
> from the data fed into it, and then performing some generalization.  The AI
> question is whether the kind of generalization it is performing is really
> the right kind to support generally intelligent cognition.
>
> My thought is that the kind of processing their network is doing, actually
> plays only a minor supporting rule in human question-answering and dialogue
> behavior.   They are using a somewhat realistic cognitive architecture for
> reactive processing, and a somewhat realistic neural learning mechanism --
> but the way the learning mechanism is used within the architecture for
> processing language, is not very much like the way the brain processes
> language.   The consequence of this difference is that their system is not
> really forming the kinds of abstractions that a human mind (even a child's
> mind) automatically forms when processing this kind of linguistic
> information....   The result of this is that the kinds of
> question-answering, question-asking, concept formation etc. their system
> can do will not actually resemble that of a human child, even though their
> system's answer-generation process may, under certain restrictions, give
> results resembling those you get from a human child...
>
> These observations do not really contradict anything they say in the
> paper, at least upon my quick read....
>
> An interesting step, anyway...
>
>
> --
> Ben Goertzel, PhD
> http://goertzel.org
>
> "The reasonable man adapts himself to the world: the unreasonable one
> persists in trying to adapt the world to himself. Therefore all progress
> depends on the unreasonable man." -- George Bernard Shaw
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